This paper raises the question of the prominence and use of statistical graphs in science, and argues that their use in problem solving analysis can best be understood in an ‘interactionist’ frame of analysis, including bio-emotion, culture, social organization, and environment as elements. The frame contrasts both with philosophical realism and with social constructivism, which posit two variables and one way causal flows. We next posit basic differences between visual, verbal, and numerical media of perception and communication. Graphs are thus (...) seen as key interactive sites where different media are transformed into more interpretable forms. Examples are taken from Limnology where numbers are transformed into graphs to find patterns in them, and thus, by implication in the environmental materials from which the numerical measurements were taken. Their revisualization by passes a human cognitive limitation, for the direct analysis — interpretation of lists and tables of numbers, visual imaging being a cognitive strength. Sense of problem, conceptual repertoire, and social relations are seen to direct this pattern search and interpretive process. (shrink)

The sociological study of knowledge infrastructures and classification has traditionally focused on the politics and practices of classifying things or people. However, actors’ work to escape dominant infrastructures and pre-established classification systems has received little attention. In response to this, this article argues that it is crucial to analyze, not only the practices and politics of classification, but also actors’work to escape dominant classification systems. The article has two aims: First, to make a theoretical contribution to the study of classification (...) by proposing to pay analytical attention to practices of escaping classification, what the article dubsclassification egress. This concept directs our attention not only to the practices and politics of classifying things, but also to how actors work to escape orresist classification systemsin practice. Second, the article aims to increase our understanding of the history of quantified and statistical health surveillance. In this, the article investigates how actors in health surveillance assembled a knowledge infrastructure for surveilling, quantifying, and detecting unknown patterns of congenital malformations in the wake of the thalidomide disaster in the early 1960s. The empirical account centers on the actors’ work to detect congenital malformations and escape the dominant nosological classification of diseases, the International Classification of Diseases (ICD), by replacing it with a procedural standard for reporting of symptoms. Thus, the article investigates how actors deal with the tension between the-already-known-and-classified and the unknown-unclassified-phenomenon in health surveillance practice. (shrink)

The ArgumentThere can be no doubt about the moral and epistemological significance of what Shapin calls the “physical place” of the scientific laboratory. The physical place is defined by the locales, barriers, ports of entry, and lines of sight that bound the laboratory and separate it from other urban and architectural environments. Shapin's discussion of the emergence of the scientific laboratory in seventeenth-century England provides a convincing demonstration that credible knowledge is situated at an intersection between physical locales and social (...) distinctions. In this paper I take up Shapin's theme of the “siting of knowledge production,” but I give it a different treatment – one based on ethnomethodological studies of work. Without denying all that can be witnessed in the spectacle of the scientist at the bench and of the architectural habitat of the bench, I argue that the “place” of scientific work is defined by locally organizedtopical contextures. The paper describes two examples of such spatial orders – “opticism” and “digitality” – associated with distinct complexes of equipment and practice. These topical spaces might initially be viewed as “ideal” or “symbolic” spaces, but I argue that they are no less material than the “physical setting” of the laboratory; indeed, they are the physical setting. (shrink)

Name der Zeitschrift: Semiotica Jahrgang: 2017 Heft: 216 Seiten: 63-88.